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#pragma once

#include "tensorrt_llm/batch_manager/namedTensor.h"

#include <list>

using namespace tensorrt_llm::batch_manager;

namespace triton::backend::inflight_batcher_llm
{

// Represent an answer from TRT-LLM that can be sent back to Triton
// This class provides helper methods to serialize/deserialize
class InferenceAnswer
{
public:
    explicit InferenceAnswer(uint64_t request_id)
        : request_id_(request_id)
    {
    }

    InferenceAnswer(uint64_t request_id, std::list<NamedTensor> const& response_tensors, bool final_response,
        const std::string& err_msg)
        : request_id_(request_id)
        , response_tensors_(response_tensors)
        , final_response_(final_response)
        , err_msg_(err_msg)
    {
    }

    uint64_t GetRequestId() const
    {
        return request_id_;
    }

    bool IsFinalResponse() const
    {
        return final_response_;
    }

    std::list<NamedTensor> const& GetTensors() const
    {
        return response_tensors_;
    }

    const std::string& GetErrorMessage() const
    {
        return err_msg_;
    }

    [[nodiscard]] std::vector<int64_t> serialize() const;

    static std::shared_ptr<InferenceAnswer> deserialize(const std::vector<int64_t>& packed);

    static std::shared_ptr<InferenceAnswer> deserialize(const int64_t* packed_ptr);

private:
    uint64_t request_id_;
    std::list<NamedTensor> response_tensors_;
    bool final_response_;
    std::string err_msg_;
};

} // namespace triton::backend::inflight_batcher_llm
